Port from https://github.com/openvinotoolkit/openvino/pull/24803
### Details:
- Updated 'How to Use' and 'Options' sections
- Added quantization and torchserve sections
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Co-authored-by: Sebastian Golebiewski <sebastianx.golebiewski@intel.com>
This reverts commit 03aad66230.
### Details:
Revert the commit because there are some models with stateful OPS
(assign/readvalue) not in same attention node, hetero pipeline
parallelism does not work.
### Tickets:
- *CVS-141771*
### Details:
QAT documentation for NNCF Torch and NNCF Tensorflow is spitted on two
pages
* quantization-aware-training-pytorch.rst is QAT by `nncf.quantize`
method documentation
* quantization-aware-training-tensorflow.rst file is a copy of original
quantization-aware-training.rst without the PyTorch part
Link to generated doc:
http://openvino-doc.iotg.sclab.intel.com/nncf-docs/openvino-workflow/model-optimization-guide/compressing-models-during-training.html
### Tickets:
- 129586
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Co-authored-by: Tatiana Savina <tatiana.savina@intel.com>
Creating `Limitation of the bf16 inference precision` section to
describe an issue of higher accuracy loss than the pre-determined
threshold of 0.5% and present possible solutions.
This PR addresses JIRA ticket: 138832.
### Details:
- Dev documentation for the existing
[internal::RMS](70142121c1/src/common/transformations/include/ov_ops/rms.hpp)
op
(specified as is without any additional features, to be developed and
updated if needed)
- RMS was created initially as a [custom gpu
RMS](9fadb5ac64/src/plugins/intel_gpu/include/intel_gpu/op/rms.hpp)
operation, and it's going to be moved to op::internal::RMS to be
available for common transformations
- Similar approach as it was done for AUGRUCell/AUGRUSeqence, so the
place for such documents has been already agreed and it's not a part of
the official web docs tree
### Tickets:
- 134914, dicsussion 129027
### Details:
- Changed from the adjugate matrix to transpose of the matrix
### Tickets:
- 138715
---------
Co-authored-by: Michal Lukaszewski <michal.lukaszewski@intel.com>
Co-authored-by: Roman Kazantsev <roman.kazantsev@intel.com>
@tadamczx and @ilya-lavrenov It took a while but I delivered what was
promised, openVINO at the official openSUSE factory. It took more than 6
months of work to get approval from the community...
---------
Co-authored-by: Sebastian Golebiewski <sebastianx.golebiewski@intel.com>